The paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART). We find strong evidence for the existence of technological...

We use a sample of 18 countries to study what variables have a significant impact on an indi-vidual’s decision to start a new business and classification and regression trees for an accurate interpretation of the data. Our results support existing literature suggesting the existence of strong...

The paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART). We find strong evidence for the existence of technological...

We analyze the effect of peer influence on the diffusion of an innovative network good. We argue that the adopters of a network good have an incentive to convince others to purchase the same product because their utility depends on the number of other users. This peer-effect influences...

We analyze the effect of peer influence on the diffusion of an innovative network good, argu-ing that the adopters of a network good have an incentive to convince others to purchase the same product because their utility depends on the number of other users. This peer-effect influences...